Google Panda Coming to a Market Near You

If you live outside the United States and were unscathed by the Panda Update, a world of hurt may await soon. Or you may be in for a pleasant surprise. It is hard to say where the chips may lay for you without looking.

Due to Google having multiple algorithms running right now, you can get a peak at the types of sites that were hit, and if your site is in English you can see if it would have got hit by comparing your Google.com rankings in the United States versus in foreign markets by using the Google AdWords ad preview tool.

In most foreign markets Google is not likely to be as aggressive with this type of algorithm as they are in the United States (because foreign ad markets are less liquid and there is less of a critical mass of content in some foreign markets), but I would be willing to bet that Google will be pretty aggressive with it in the UK when it rolls out.

The keywords where you will see the most significant ranking changes will be those where there is a lot of competition, as keywords with less competition generally do not have as many sites to replace them when they are whacked (since there were less people competing for the keyword). Another way to get a glimpse of the aggregate data is to look at your Google Analytics search traffic from the US and see how it has changed relative to seasonal norms. Here is a look out below example, highlighting how Google traffic dropped.

What is worse, is that on most sites impacted revenue declined faster than traffic because search traffic monetizes so well & the US ad market is so much deeper than most foreign markets. Thus a site that had 50% profit margins might have just went to break even or losing money after this update.

When Google updates the US content farmer algorithm again (likely soon, since it has already been over a month since the update happened) it will likely roll out around other large global markets, because Google does not like running (and maintaining) 2 sets of ranking algorithms for an extended period of time, as it is more cost intensive and it helps people reverse engineer the algorithm.